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1 adcroft 1.1 \begin{figure}
2     \begin{center}
3     \includegraphics[width=\textwidth,height=.3\textheight]{part3/case_studies/plume_on_slope/dx.eps}
4     \end{center}
5     \caption{Horizontal grid spacing, $\Delta x$, in the across-slope
6     direction for the gravity plume experiment.}
7     \label{fig:dx-plume-on-slope}
8     \end{figure}
9    
10     \begin{figure}
11     \begin{center}
12     \includegraphics[width=\textwidth,height=.3\textheight]{part3/case_studies/plume_on_slope/Depth.eps}
13     \end{center}
14     \caption{Topography, $h(x)$, used for the gravity plume experiment.}
15     \label{fig:depth-plume-on-slope}
16     \end{figure}
17    
18     \begin{figure}
19     \begin{center}
20     \includegraphics[width=\textwidth,height=.3\textheight]{part3/case_studies/plume_on_slope/Qsurf.eps}
21     \end{center}
22     \caption{Upward surface heat flux, $Q(x)$, used as forcing in the
23     gravity plume experiment.}
24     \label{fig:Q-plume-on-slope}
25     \end{figure}
26    
27     \begin{figure}
28     \begin{center}
29     \includegraphics[width=\textwidth,height=.3\textheight]{part3/case_studies/plume_on_slope/billows.eps}
30     \end{center}
31     \caption{Temperature after 23~hours of cooling. The cold dense water is
32     mixed with ambient water as it accelerates down the slope and hence
33     is warmed than the unmixed plume.
34     }
35     \label{fig:T-plume-on-slope}
36     \end{figure}
37    
38     An important test of any ocean model is the ability to represent the
39     flow of dense fluid down a slope. One example of such a flow is a
40     non-rotating gravity plume on a continental slope, forced by a limited
41     area of surface cooling above a continental shelf. Because the flow is
42     non-rotating, a two dimensional model can be used in the across slope
43     direction. The experiment is non-hydrostatic and uses open-boundaries
44     to radiate transients at the deep water end. (Dense flow down a slope
45     can also be forced by a dense inflow prescribed on the continental
46     shelf; this configuration is being implemented by the DOME (Dynamics
47     of Overflow Mixing and Entrainment) collaboration to compare solutions
48     in different models).
49    
50     The fluid is initially unstratified. The surface buoyancy loss $B_0$
51     (dimensions of L$^2$T$^{-3}$) over a cross-shelf distance $R$ causes
52     vertical convective mixing and modifies the density of the fluid by an
53     amount
54     \begin{equation}
55     \Delta \rho = \frac{B_0 \rho_0 t}{g H}
56     \end{equation}
57     where $H$ is the depth of the shelf, $g$ is the acceleration due to
58     gravity, $t$ is time since onset of cooling and $\rho_0$ is the
59     reference density. Dense fluid slumps under gravity, with a flow speed
60     close to the gravity wave speed:
61     \begin{equation}
62     U
63     \sim \sqrt{g' H}
64     \sim \sqrt{ \frac{g \Delta \rho H}{\rho_0} }
65     \sim \sqrt{B_0 t}
66     \end{equation}
67     A steady state is rapidly established in which the buoyancy flux out of
68     the cooling region is balanced by the surface buoyancy loss.
69     Then
70     \begin{equation}
71     U \sim (B_0 R)^{1/3} \mbox{ ; } \Delta \rho \sim \frac{\rho_0}{g H} (B_0 R)^{2/3}
72     \end{equation}
73     The Froude number of the flow on the shelf is close to unity (but in
74     practice slightly less than unity, giving subcritical flow).
75     When the flow reaches the slope, it accelerates, so that it may become
76     supercritical (provided the slope angle $ \alpha $ is steep enough).
77     In this case, a hydraulic control is established at
78     the shelf break. On the slope, where the Froude number is greater
79     than one, and gradient Richardson number
80     (defined as $Ri \sim g' h^*/U^2$ where $h^*$ is the thickness of the
81     interface between dense and ambient fluid) is reduced
82     below 1/4, Kelvin-Helmholtz instability is possible, and leads to
83     entrainment of ambient fluid into the plume, modifying the
84     density, and hence the acceleration down the slope.
85     Kelvin-Helmholtz instability is suppressed at low Reynolds and
86     Peclet numbers given by
87     \begin{equation}
88     Re \sim \frac{U h}{ \nu} \sim \frac{(B_0 R)^{1/3} h}{\nu} \mbox{ ; } Pe = Re Pr
89     \end{equation}
90     where $h$ is the depth of the dense fluid on the slope.
91     Hence this experiment is carried out in the high Re, Pe regime.
92     A further constraint is that the convective heat flux must be much greater
93     than the diffusive heat flux (Nusselt number $>> 1$).
94     Then
95     \begin{equation}
96     Nu = \frac{U h^* }{\kappa} >> 1
97     \end{equation}
98     Finally, since we have assumed that the convective mixing on the shelf
99     occurs in a much shorter time than the horizontal equilibration,
100     this implies $H/R << 1$.
101    
102     Hence to summarize the important nondimensional parameters, and
103     the limits we are considering:
104     \begin{equation}
105     \frac{H}{R} << 1 \mbox{ ; } Re >> 1 \mbox{ ; } Pe >> 1 \mbox{ ; } Nu >> 1
106     \mbox{ ; } \mbox{ ; } Ri < 1/4
107     \end{equation}
108     In addition we are assuming that the slope is steep enough to provide
109     sufficient acceleration to the gravity plume, but nonetheless much less
110     that $1:1$, since many Kelvin-Helmholtz billows appear on the slope,
111     implying horizontal lengthscale of the slope $>>$ the depth of the
112     dense fluid.
113    
114     \subsection{Configuration}
115    
116     The topography, spatial grid, forcing and initial conditions are all
117     specified in binary data files generated using a {\em Matlab} script
118     called {\tt gendata.m} and detailed in
119     section~\ref{sect:plume-generating}. Other model parameters are
120     specified in file {\tt data} and {\tt data.obcs} and detailed in
121     section~\ref{sect:plume-params}.
122    
123     \subsubsection{Binary input data}
124     \label{sect:plume-generating}
125    
126     The domain is $200$~m deep and $6.4$~km across. Uniform resolution of
127     $60\times3^1/_3$~m is used in the vertical and variable resolution of
128     the form shown in Fig.~\ref{fig:dx-plume-on-slope} with $320$ points
129     is usedin the horizontal. The formula for $\Delta x$ is:
130     \begin{displaymath}
131     \Delta x(i) = \Delta x_1 + ( \Delta x_2 - \Delta x_1 )
132     ( 1 + \tanh{\left(\frac{i-i_s}{w}\right)} ) /2
133     \end{displaymath}
134     where
135     \begin{eqnarray*}
136     Nx & = & 320 \\
137     Lx & = & 6400 \;\; \mbox{(m)} \\
138     \Delta x_1 & = & \frac{2}{3} \frac{Lx}{Nx} \;\; \mbox{(m)} \\
139     \Delta x_2 & = & \frac{Lx/2}{Nx-Lx/2 \Delta x_1} \;\; \mbox{(m)} \\
140     i_s & = & Lx/( 2 \Delta x_1 ) \\
141     w & = & 40
142     \end{eqnarray*}
143     Here, $\Delta x_1$ is the resolution on the shelf, $\Delta x_2$ is the
144     resolution in deep water and $Nx$ is the number of points in the
145     horizontal.
146    
147     The topography, shown in Fig.~\ref{fig:depth-plume-on-slope}, is given
148     by:
149     \begin{displaymath}
150     H(x) = -H_o + (H_o - h_s) ( 1 + \tanh{\left(\frac{x-x_s}{L_s}\right)} ) / 2
151     \end{displaymath}
152     where
153     \begin{eqnarray*}
154     H_o & = & 200 \;\; \mbox{(m)} \\
155     h_s & = & 40 \;\; \mbox{(m)} \\
156     x_s & = & 1500 + Lx/2 \;\; \mbox{(m)} \\
157     L_s & = & \frac{(H_o - h_s)}{2 s} \;\; \mbox{(m)} \\
158     s & = & 0.15
159     \end{eqnarray*}
160     Here, $s$ is the maximum slope, $H_o$ is the maximum depth, $h_s$ is
161     the shelf depth, $x_s$ is the lateral position of the shelf-break and
162     $L_s$ is the length-scale of the slope.
163    
164     The forcing is through heat loss over the shelf, shown in
165     Fig.~\ref{fig:Q-plume-on-slope} and takes the form of a fixed flux
166     with profile:
167     \begin{displaymath}
168     Q(x) = Q_o ( 1 + \tanh{\left(\frac{x - x_q}{L_q}\right)} ) / 2
169     \end{displaymath}
170     where
171     \begin{eqnarray*}
172     Q_o & = & 200 \;\; \mbox{(W m$^{-2}$)} \\
173     x_q & = & 2500 + Lx/2 \;\; \mbox{(m)} \\
174     L_q & = & 100 \;\; \mbox{(m)}
175     \end{eqnarray*}
176     Here, $Q_o$, is the maximum heat flux, $x_q$ is the position of the
177     cut-off and $L_q$ is the width of the cut-off.
178    
179     The initial tempeture field is unstratified but with random
180     perturbations, to induce convection early on in the run. The random
181     perturbation are calculated in computational space and because of the
182     variable resolution introduce some spatial correlations but this does
183     not matter for this experiment. The perturbations have range
184     $0-0.01$~$^\circ$K.
185    
186     \subsubsection{Code configuration}
187     \label{sect:plume-config}
188    
189     The computational domain (number of points) is specified in {\tt
190     code/SIZE.h} and is configured as a single tile of dimensions
191     $320\times1\times60$. There are no experiment specific source files.
192    
193     Optional code required to for this experiment are the non-hydrostatic
194     algorithm and open-boundaries:
195     \begin{itemize}
196     \item Non-hydrostatic terms and algorithm are enabled with {\bf
197     \#define ALLOW\_NONHYDROSTATIC} in {\tt code/CPP\_OPTIONS.h} and
198     activated with {\bf nonHydrostatic=.TRUE.,} in namelist {\em PARM01}
199     of {\tt input/data}.
200     \item Open boundaries are enabled with {\bf \#define ALLOW\_OBCS} in
201     {\tt code/CPP\_OPTIONS.h} and activated with {\bf use\_OBCS=.TRUE,} in
202     namelist {\em PACKAGES} of {\tt input/data.pkg}.
203     \end{itemize}
204    
205     \subsubsection{Model parameters}
206     \label{sect:plume-params}
207    
208     \begin{table}
209     \begin{center}
210     \begin{tabular}{lll}
211     $g$ & $9.81$ m s$^{-2}$ & acceleration due to gravity \\
212     $\rho_o$ & $999.8$ kg m$^{-3}$ & reference density \\
213     $\alpha$ & $2 \times 10^{-4}$ K$^{-1}$ & expansion coefficient \\
214     $A_h$ & $1 \times 10^{-2}$ m$^2$s$^{-1}$ & horizontal viscosity \\
215     $A_v$ & $1 \times 10^{-3}$ m$^2$s$^{-1}$ & vertical viscosity \\
216     $\kappa_h$ & $0$ m$^2$s$^{-1}$ & (explicit) horizontal diffusion \\
217     $\kappa_v$ & $0$ m$^2$s$^{-1}$ & (explicit) vertical diffusion \\
218     \\
219     $\Delta t$ & $20$ s & time step \\
220     $\Delta z$ & $3.3\dot{3}$ m & vertical grid spacing \\
221     $\Delta x$ & $13.\dot{3}-39.5$ m & horizontal grid spacing
222     \end{tabular}
223     \end{center}
224     \caption{Model parameters used in the gravity plume experiment.}
225     \label{table:plume-on-slope}
226     \end{table}
227    
228     The model parameters (Table~\ref{table:plume-on-slope}) are specified
229     in {\tt input/data} and if not assume the default values defined in
230     {\tt model/src/set\_defaults.F}. A linear equation of state is used,
231     {\bf eosType='LINEAR'}, but only temperature is active, {\bf
232     sBeta=0.E-4}. For the given heat flux, $Q_o$, the buoyancy forcing is
233     $B_o = \frac{g \alpha Q}{\rho_o c_p} \sim
234     10^{-7}$~m$^2$s$^{-3}$. Using $R=10^3$~m, the shelf width, then this
235     gives a velocity scale of $U\sim 5 \times 10^{-2}$~m~s$^-1$ for the
236     initial front but will accelerate by an order of magnitude over the
237     slope. The temperature anomaly will be of order $\Delta \theta \sim 3
238     \times 10^{-2}$~K. The viscosity is constant and gives a Reynolds
239     number of $100$, using $h=20$~m for the initial front and will be an
240     order magnitude bigger over the slope. There is no explicit diffusion
241     but a non-linear advection scheme is used for temperature which adds
242     enough diffusion so as to keep the model stable. The time-step is set
243     to $20$~s and gives Courant number order one when the flow reaches the
244     bottom of the slope.
245    
246     \subsubsection{Build and run the model}
247    
248     Build the model per usual. For example:
249     \begin{verbatim}
250     % cd verification/plume_on_slope
251     % mkdir build
252     % cd build
253     % ../../../tools/genmake -mods=../code -disable=gmredi,kpp,zonal_filt
254     ,shap_filt
255     % make depend
256     % make
257     \end{verbatim}
258    
259     When compilation is complete, run the model as usual, for example:
260     \begin{verbatim}
261     % cd ../
262     % mkdir run
263     % cp input/* build/mitgcmuv run/
264     % cd run
265     % ./mitgcmuv > output.txt
266     \end{verbatim}

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